Abstract is missing.
- Learning to Augment Graph Structure for both Homophily and Heterophily GraphsLirong Wu, Cheng Tan 0012, Zihan Liu, Zhangyang Gao, Haitao Lin, Stan Z. Li. 3-18 [doi]
- Learning Representations for Bipartite Graphs Using Multi-task Self-supervised LearningAkshay Sethi, Sonia Gupta, Aakarsh Malhotra, Siddhartha Asthana. 19-35 [doi]
- ChiENN: Embracing Molecular Chirality with Graph Neural NetworksPiotr Gainski, Michal Koziarski, Jacek Tabor, Marek Smieja. 36-52 [doi]
- Multi-label Image Classification with Multi-scale Global-Local Semantic Graph NetworkWenlan Kuang, Qiangxi Zhu, Zhixin Li 0001. 53-69 [doi]
- CasSampling: Exploring Efficient Cascade Graph Learning for Popularity PredictionGuixiang Cheng, Xin Yan 0005, Shengxiang Gao, Guangyi Xu, Xianghua Miao. 70-86 [doi]
- Boosting Adaptive Graph Augmented MLPs via Customized Knowledge DistillationShaowei Wei, Zhengwei Wu, Zhiqiang Zhang 0012, Jun Zhou 0011. 87-103 [doi]
- ENGAGE: Explanation Guided Data Augmentation for Graph Representation LearningYucheng Shi, Kaixiong Zhou, Ninghao Liu. 104-121 [doi]
- Modeling Graphs Beyond Hyperbolic: Graph Neural Networks in Symmetric Positive Definite MatricesWei Zhao, Federico López 0002, J. Maxwell Riestenberg, Michael Strube 0001, Diaaeldin Taha, Steve Trettel. 122-139 [doi]
- Leveraging Free Labels to Power up Heterophilic Graph Learning in Weakly-Supervised Settings: An Empirical StudyXugang Wu, Huijun Wu 0001, Ruibo Wang, Duanyu Li, Xu Zhou, Kai Lu. 140-156 [doi]
- Train Your Own GNN Teacher: Graph-Aware Distillation on Textual GraphsCostas Mavromatis, Vassilis N. Ioannidis, Shen Wang 0005, Da Zheng, Soji Adeshina, Jun Ma 0029, Han Zhao 0002, Christos Faloutsos, George Karypis. 157-173 [doi]
- The Mont Blanc of Twitter: Identifying Hierarchies of Outstanding Peaks in Social NetworksMaximilian Stubbemann, Gerd Stumme. 177-192 [doi]
- RBNets: A Reinforcement Learning Approach for Learning Bayesian Network StructureZuowu Zheng, Chao Wang, Xiaofeng Gao 0001, Guihai Chen. 193-208 [doi]
- A Unified Spectral Rotation Framework Using a Fused Similarity GraphYuting Liang, Wen Bai, Yuncheng Jiang. 209-225 [doi]
- SimSky: An Accuracy-Aware Algorithm for Single-Source SimRank SearchLiping Yan, Weiren Yu. 226-241 [doi]
- Online Network Source Optimization with Graph-Kernel MABLaura Toni, Pascal Frossard. 242-258 [doi]
- Quantifying Node-Based Core ResilienceJakir Hossain, Sucheta Soundarajan, Ahmet Erdem Sariyüce. 259-276 [doi]
- Construction and Training of Multi-Associative Graph NetworksAdrian Horzyk, Daniel Bulanda, Janusz A. Starzyk. 277-292 [doi]
- Skeletal Cores and Graph ResilienceDanylo Honcharov, Ahmet Erdem Sariyüce, Ricky Laishram, Sucheta Soundarajan. 293-308 [doi]
- GDM: Dual Mixup for Graph Classification with Limited SupervisionAbdullah Alchihabi, Yuhong Guo. 309-324 [doi]
- Two-Stage Denoising Diffusion Model for Source Localization in Graph Inverse ProblemsBosong Huang, Weihao Yu, Ruzhong Xie, Jing Xiao, Jin Huang. 325-340 [doi]
- Sparse Neural Additive Model: Interpretable Deep Learning with Feature Selection via Group SparsityShiyun Xu, Zhiqi Bu, Pratik Chaudhari, Ian J. Barnett. 343-359 [doi]
- Learning Locally Interpretable Rule EnsembleKentaro Kanamori. 360-377 [doi]
- XAI with Machine Teaching When Humans Are (Not) Informed About the Irrelevant FeaturesBrigt Arve Toppe Håvardstun, Cèsar Ferri, José Hernández-Orallo, Pekka Parviainen, Jan Arne Telle. 378-393 [doi]
- Generating Robust Counterfactual ExplanationsVictor Guyomard, Françoise Fessant, Thomas Guyet, Tassadit Bouadi, Alexandre Termier. 394-409 [doi]
- Neural Models for Factual Inconsistency Classification with ExplanationsTathagata Raha, Mukund Choudhary, Abhinav Menon, Harshit Gupta, K. V. Aditya Srivatsa, Manish Gupta 0001, Vasudeva Varma. 410-427 [doi]
- iSAGE: An Incremental Version of SAGE for Online Explanation on Data StreamsMaximilian Muschalik, Fabian Fumagalli, Barbara Hammer, Eyke Hüllermeier. 428-445 [doi]
- Interpretation Attacks and Defenses on Predictive Models Using Electronic Health RecordsFereshteh Razmi, Jian Lou 0001, Yuan Hong, Li Xiong 0001. 446-461 [doi]
- An Empirical Evaluation of the Rashomon Effect in Explainable Machine LearningSebastian Müller, Vanessa Toborek, Katharina Beckh, Matthias Jakobs, Christian Bauckhage, Pascal Welke. 462-478 [doi]
- Interpretable Regional Descriptors: Hyperbox-Based Local ExplanationsSusanne Dandl, Giuseppe Casalicchio, Bernd Bischl, Ludwig Bothmann. 479-495 [doi]
- TIGTEC: Token Importance Guided TExt CounterfactualsMilan Bhan, Jean-Noël Vittaut, Nicolas Chesneau, Marie-Jeanne Lesot. 496-512 [doi]
- Towards Few-Shot Inductive Link Prediction on Knowledge Graphs: A Relational Anonymous Walk-Guided Neural Process ApproachZiCheng Zhao, Linhao Luo, Shirui Pan, Quoc Viet Hung Nguyen, Chen Gong 0002. 515-532 [doi]
- Comparing Apples and Oranges? On the Evaluation of Methods for Temporal Knowledge Graph ForecastingJulia Gastinger, Timo Sztyler, Lokesh Sharma, Anett Schuelke, Heiner Stuckenschmidt. 533-549 [doi]
- Improving Few-Shot Inductive Learning on Temporal Knowledge Graphs Using Confidence-Augmented Reinforcement LearningZifeng Ding, Jingpei Wu, Zongyue Li, Yunpu Ma, Volker Tresp. 550-566 [doi]
- Clifford Embeddings - A Generalized Approach for Embedding in Normed AlgebrasCaglar Demir, Axel-Cyrille Ngonga Ngomo. 567-582 [doi]
- Exploring Word-Sememe Graph-Centric Chinese Antonym DetectionZhaobo Zhang, Pingpeng Yuan, Hai Jin 0001. 583-600 [doi]
- Distinct Geometrical Representations for Temporal and Relational Structures in Knowledge GraphsBowen Song, Chengjin Xu, Kossi Amouzouvi, Maocai Wang, Jens Lehmann 0001, Sahar Vahdati. 601-616 [doi]
- LitCQD: Multi-hop Reasoning in Incomplete Knowledge Graphs with Numeric LiteralsCaglar Demir, Michel Wiebesiek, Renzhong Lu, Axel-Cyrille Ngonga Ngomo, Stefan Heindorf. 617-633 [doi]
- Cross Model Parallelism for Faster Bidirectional Training of Large Convolutional Neural Networksan Xu, Yang Bai. 637-653 [doi]
- Distributed Adaptive Optimization with Divisible Communicationan Xu, Yang Bai. 654-670 [doi]
- propagate: A Seed Propagation Framework to Compute Distance-Based Metrics on Very Large GraphsGiambattista Amati, Antonio Cruciani, Daniele Pasquini, Paola Vocca, Simone Angelini. 671-688 [doi]
- Towards Memory-Efficient Training for Extremely Large Output Spaces - Learning with 670k Labels on a Single Commodity GPUErik Schultheis, Rohit Babbar. 689-704 [doi]